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You want to see all the information that tells you how your business is running, has run and will run in one place. Using enterprise analytics to manage diverse global portfolios is a challenge but it represents an increasingly necessary part of your business framework. This presentation provides an introduction to modern enterprise analytics and the current vendor landscape.
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Slide 1
iGlobal SeminarOctober 14, 2009
Damien Georges
Managing Director
Hipercept Inc.
Slide 2
• Integrating information from third parties (property managers, JV partners, asset managers)
• Determining the impact of changes in asset acquisition/disposition strategies on investment and investor returns, including:
– Hypothetical portfolios
– Debt financing and refinancing changes
– Impact of changes in underlying property leasing assumptions and major tenant changes on NOI and value
• Managing diverse global portfolios and trying to consolidate that information into an accurate portfolio level understanding
Challenges
Slide 3
Business Intelligence and Data Governance
• Using a Business Intelligence and Data Governance framework to tackle these challenges
• This framework supports the consistent business requirement:
– “I want to see all the information that tells me how my business is running, has run and will run in one place”
• The reality of trying to meet the requirement:
– Access to high accuracy (data governance) information in underlying systems
– Complex systems integration
– Method for aggregating and normalizing data
– Reporting
– Business buy-in, stamina and significant investment
Slide 4
Why should you care?
• I am focused on driving revenue (not technology or operations)
– These systems can be used to better manage your portfolio
• Risk management (exposure analysis)
• Debt management (loan-to-value, debt service coverage)
• Improving investment and investor returns (scenario analysis, assumption sensitization)
– Successfully implementing this framework will result in better portfolio management
– This framework is not a luxury in the current environment
• Both from the investment manager and the investors perspective
Slide 5
Integrated Enterprise Analytics Environment
Slide 6
Garbage in Garbage Out
Without the dual implementation of a BI and data governance infrastructure it is difficult to provide information that end users can trust.
The combined strategy enables effective risk management and leads to better decisions.
Slide 7
Implemented across the enterprise in a diverse vendor landscape
Slide 8
Solving the challenge – Combining Best Practices
• Combination of past projects for private equity and investment management firms
– Implementing data governance and business intelligence in parallel
– Defining, publishing and monitoring data standards
– Creating a system agnostic schema for the consumption of information
• Leveraging existing standards and benchmarks (OSCRE, PISCES, IPD and NCREIF)
– Investing several million dollars in establishing and maintaining this platform
• Building a comprehensive business case to support this investment
Slide 9
Focused on supporting the investment lifecycle
Slide 10
Collecting information
Slide 11
Taking a system agnostic approach to a data model
Fund
Investment
InvestmentHoldings
Asset Holdings
Asset
Financials
Chart of Accounts
PropertyGroup
Property
Unit
Space
LeaseTenant
Appraisal
Tax
Insurance
AccountsReceivable
Options
Charges
Sales
Investors
Debt
EquityStructure
FINANCIAL OPERATIONAL
Engineering
Acquisition
OSCRE Hybrid Approach